Dejan Štepec
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
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- Face recognition and analysis
Papers in
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- Digital Imaging for Blood Diseases 3
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- Cell Image Analysis Techniques 4
- Co-authors
- Žiga Emeršič (4 shared papers)Peter Peer (4 shared papers)Vitomir Štruc (4 shared papers)Danijel Skočaj (7 shared papers)Peter Rot (2 shared papers)Abhijit Das (2 shared papers)Umapada Pal (2 shared papers)Miguel A. Ferrer (2 shared papers)
- Journals
- International Journal of Environmental Science and Technology (1 paper)Forests (1 paper)Medical Image Analysis (1 paper)WIT transactions on the built environment (1 paper)arXiv (Cornell University) (3 papers)
In The Last Decade
Dejan Štepec
18 papers receiving 286 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 133
- Computer Vision and Pattern Recognition 163
- Media Technology 35
- Ophthalmology 28
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Dejan Štepec
This map shows the geographic impact of Dejan Štepec's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dejan Štepec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Štepec more than expected).
Fields of papers citing papers by Dejan Štepec
This network shows the impact of papers produced by Dejan Štepec. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dejan Štepec. The network helps show where Dejan Štepec may publish in the future.
Co-authors
The 15 scholars most cited alongside Dejan Štepec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2017 | 38 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 0 |
About Dejan Štepec
Dejan Štepec is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Signal Processing, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 19 papers that have together received 294 indexed citations. Recurring topics across this work include Biometric Identification and Security (5 papers), AI in cancer detection (5 papers), Cell Image Analysis Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers), Maritime Transport Emissions and Efficiency (3 papers), Maritime Ports and Logistics (3 papers), Retinal Imaging and Analysis (3 papers) and Maritime Navigation and Safety (3 papers). The work is most often cited by research in Signal Processing (133 citations), Computer Vision and Pattern Recognition (163 citations), Media Technology (35 citations), Ophthalmology (28 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Dejan Štepec has collaborated with scholars based in Slovenia, Spain and India. Frequent co-authors include Žiga Emeršič, Peter Peer, Vitomir Štruc, Danijel Skočaj, Peter Rot, Abhijit Das, Umapada Pal, Miguel A. Ferrer, Michael Blumenstein and Bukahally Somashekar Harish. Their work appears in journals such as International Journal of Environmental Science and Technology, Forests, Medical Image Analysis, WIT transactions on the built environment and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.